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- [Model download](#download)
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- [Run the model](#inference)
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- [Fine-tuning the model](#finetuning)
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- [Limitations](#limitations)
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- [License](https://github.com/VinAIResearch/PhoGPT/blob/main/LICENSE)
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# PhoGPT: Generative Pre-training for Vietnamese <a name="introduction"></a>
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We open-source a state-of-the-art 4B-parameter generative model series for Vietnamese, which includes the base pre-trained monolingual model PhoGPT-4B and its chat variant, PhoGPT-4B-Chat. The base model, PhoGPT-4B, with exactly 3.7B parameters, is pre-trained from scratch on a Vietnamese corpus of 102B tokens, with an 8192 context length, employing a vocabulary of 20480 token types. The chat variant, PhoGPT-4B-Chat, is the modeling output obtained by fine-tuning PhoGPT-4B on a dataset of 70K instructional prompts and their responses, along with an additional 290K conversations. We demonstrate its strong performance compared to previous closed-source and open-source 7B-parameter models. More details about the general architecture and experimental results of PhoGPT can be found in our [technical report](https://arxiv.org/abs/2311.02945):
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# PhoGPT: Generative Pre-training for Vietnamese
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We open-source a state-of-the-art 4B-parameter generative model series for Vietnamese, which includes the base pre-trained monolingual model PhoGPT-4B and its chat variant, PhoGPT-4B-Chat. The base model, PhoGPT-4B, with exactly 3.7B parameters, is pre-trained from scratch on a Vietnamese corpus of 102B tokens, with an 8192 context length, employing a vocabulary of 20480 token types. The chat variant, PhoGPT-4B-Chat, is the modeling output obtained by fine-tuning PhoGPT-4B on a dataset of 70K instructional prompts and their responses, along with an additional 290K conversations. We demonstrate its strong performance compared to previous closed-source and open-source 7B-parameter models. More details about the general architecture and experimental results of PhoGPT can be found in our [technical report](https://arxiv.org/abs/2311.02945):
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